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Innovative Applications and Developments in Geomatics Technology

Submission Deadline: 30 September 2025 (closed) View: 725 Submit to Journal

Guest Editors

Prof. Khairul Nizam Tahar

Email: khairul0127@uitm.edu.my

Affiliation:  School of Geomatics Science and Natural Resources, College of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia

Homepage:

Research Interests: Unmanned Aerial Vehicle (UAV), surveying and geomatics, image processing and photogrammetry


Prof. Saiful Aman Hj Sulaiman

Email: saifulaman@uitm.edu.my

Affiliation:  School of Geomatics Science and Natural Resources, College of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia

Homepage:

Research Interests: GNSS, oceanography and hydrography, surveying and geomatics


Dr. Mohamad Hezri Razali

Email: hezrirazali@uitm.edu.my

Affiliation:  School of Geomatics Science and Natural Resources, College of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia

Homepage:

Research Interests: surveying and geomatics, Land Administration Domain Model (LADM), Open Geo-Building Information Modelling (BIM)


Dr. Muhammad Abdul Hakim Muhamad

Email: abdulhakim@uitm.edu.my

Affiliation:  School of Geomatics Science and Natural Resources, College of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia

Homepage:

Research Interests: remote sensing, Geographical Information System (GIS), multidimensional modelling hydro-informatics,  oceanography and hydrography

Summary

Geomatics technology has undergone rapid advancements, revolutionizing spatial data acquisition, processing, and analysis. With the integration of cutting-edge technologies such as artificial intelligence (AI), unmanned aerial vehicles (UAVs), remote sensing, and geographic information systems (GIS), geomatics now plays a critical role in various industries, including urban planning, environmental monitoring, disaster management, and precision agriculture. This Special Issue, "Innovative Applications and Developments in Geomatics Technology," aims to explore the latest breakthroughs and emerging applications that push the boundaries of traditional geomatics methodologies. The issue will focus on novel research, methodologies, and practical implementations that enhance data accuracy, automation, and decision-making capabilities. Topics of interest include but are not limited to AI-driven geospatial analysis, UAV-based mapping, advanced remote sensing techniques, digital twin applications, smart city geoinformatics, and geospatial big data analytics. By bringing together experts and researchers in the field, this Special Issue seeks to highlight innovative contributions that shape the future of geomatics technology and its applications across diverse domains.

Keywords

Geomatics technology, remote sensing, unmanned aerial vehicles (UAVs), artificial intelligence (AI), and geospatial analysis

Published Papers

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  • Open Access

    ARTICLE

    3D Photogrammetric Modelling for Digital Twin Development: Accuracy Assessment Using UAV Multi-Altitude Imaging

    Nur Afikah Juhari, Khairul Nizam Tahar
    Revue Internationale de Géomatique, Vol.35, pp. 1-11, 2026, DOI:10.32604/rig.2026.070991
    （This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
    Abstract The use of Unmanned Aerial Vehicles (UAVs) in photogrammetry has grown rapidly due to enhanced flight stability, high-resolution imaging, and advanced Structure from Motion (SfM) algorithms. This study investigates the potential of UAVs as a cost-effective alternative to Terrestrial Laser Scanners (TLS) for 3D building reconstruction. A 3D model of Bangunan Sarjana was generated in Agisoft Metashape Professional v.2.0.2 using 492 aerial images captured at flying altitudes of 40, 50, and 60 m. Ground control points were established using GNSS (RTK-VRS), and Total Station measurements were employed for accuracy validation. The results indicate that the 60 More >

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    139

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    90

  • Open Access

    ARTICLE

    Atmospheric Delay Correction Using GNSS and GACOS Data in InSAR Land Subsidence Monitoring over Banting, Selangor

    Mohd Hakimi Abdul Rahman, Amir Sharifuddin Ab Latip, Zulkiflee Abd Latif, Siti Balqis Mohd Tun, Nur Azlina Hariffin, Mohd Fikri Razali
    Revue Internationale de Géomatique, Vol.34, pp. 959-972, 2025, DOI:10.32604/rig.2025.071109
    （This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
    Abstract Atmospheric phase delay, primarily caused by water vapor in the troposphere, is a major source of error in InSAR measurements, especially for land subsidence monitoring. This study integrates GNSS and GACOS data to correct tropospheric delay and enhance InSAR accuracy in Banting, Selangor. A total of 27 Sentinel-1A images, 14 GNSS stations, and 27 corresponding GACOS ZTD maps were used to monitor subsidence between 2023 and 2025. The InSAR data were processed using SNAP, StaMPS, and the TRAIN toolbox, incorporating both GNSS- and GACOS-derived ZTD corrections. The results show that applying atmospheric correction improved the… More >

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    433

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    132

  • Open Access

    ARTICLE

    Advancing Sinkhole Susceptibility Mapping in Urbanised Karst Landscapes

    Yan Eng Tan, Siti Nur Aliaa Roslan
    Revue Internationale de Géomatique, Vol.34, pp. 777-791, 2025, DOI:10.32604/rig.2025.070997
    （This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
    Abstract Sinkholes, typically associated with karst landscapes, are emerging as significant geohazards in rapidly urbanising regions such as Kuala Lumpur, where human activities like land development, underground infrastructure, and groundwater extraction exacerbate subsurface instability. Despite their destructive potential, sinkholes remain under-monitored in Malaysia due to fragmented data and the lack of predictive spatial tools. This study aimed to develop a web-based, machine learning-driven framework for sinkhole susceptibility mapping to support public awareness, hazard mitigation, and geospatially informed urban planning. The framework was implemented using Google Earth Engine and Google Colab, focusing on Kuala Lumpur and parts… More >

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    511

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    254

  • Open Access

    ARTICLE

    Integration of Frequency Ratio-Analytical Hierarchical Process (FR-AHP) in GIS for Measuring Campus Spatial Accessibility Index

    Nur Sabrina Jamal, Nabilah Naharudin
    Revue Internationale de Géomatique, Vol.34, pp. 751-776, 2025, DOI:10.32604/rig.2025.071091
    （This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
    Abstract Multicriteria Decision Analysis (MCDA) has been integrated with GIS modelling by many studies to aid the decision-making process. This integration enhances modelling by incorporating spatial relationships and using advanced techniques, including the combination of Frequency Ratio (FR) and Analytical Hierarchical Process (AHP), also known as FR-AHP. Although methods like Two-Steps Floating Catchment Area (2SFCA), AHP, and FR are widely applied in measuring accessibility, they have limitations in terms of threshold sensitivity and subjectivity. Hence, this study used FR-AHP, which combines the data-driven strength of FR and the structured decision-making technique of AHP to provide a… More >

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    216

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